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Measurement error risks attenuating associations in research; this review extends strategies to minimize regression dilution bias.
Random measurement error is a pervasive problem in medical research, which can introduce bias to an estimate of the association between a risk factor and a disease or make a true association statistically non-significant. Hutcheon and colleagues explain when, why, and how random measurement error introduces bias and provides strategies for researchers to minimise the problem
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Hutcheon et al. (2010) studied this question.
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